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Ke Zhang

4 papers hereh-index 6164 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CV1
same name
  • Ke Zhang — 43 papers, h 25
  • Ke Zhang — 31 papers, h 11
  • Ke Zhang — 21 papers, h 13
  • Ke Zhang — 14 papers, h 8
  • Ke Zhang — 12 papers, h 3
  • Ke Zhang — 10 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval

3 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2022

Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer

Sharan Narasimhan, Suvodip Dey, Maunendra Sankar Desarkar

Recent studies show that auto-encoder based approaches successfully perform language generation, smooth sentence interpolation, and style transfer over unseen attributes using unla…

cs.CV2022★ 3 cited

TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval

Yue Ruan, Han-Hung Lee, Yiming Zhang +2

Text-to-shape retrieval is an increasingly relevant problem with the growth of 3D shape data. Recent work on contrastive losses for learning joint embeddings over multimodal data h…

cs.CL2021

A Review of Human Evaluation for Style Transfer

Eleftheria Briakou, Sweta Agrawal, Ke Zhang +2

This paper reviews and summarizes human evaluation practices described in 97 style transfer papers with respect to three main evaluation aspects: style transfer, meaning preservati…

cs.CL2021★ 1 cited

XFORMAL: A Benchmark for Multilingual Formality Style Transfer

Eleftheria Briakou, Di Lu, Ke Zhang +1

We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.